Triple
T20878863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nut Room |
E514090
|
entity |
| Predicate | teachesMoral |
P57332
|
FINISHED |
| Object | consequences of spoiled and demanding behavior |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: consequences of spoiled and demanding behavior | Statement: [Nut Room, teachesMoral, consequences of spoiled and demanding behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesMoral Context triple: [Nut Room, teachesMoral, consequences of spoiled and demanding behavior]
-
A.
hasEthicalTeaching
Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
-
B.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
C.
hasMoralMessage
chosen
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
-
D.
moralExemplarOf
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
E.
moralInfluenceOnCharacter
Indicates that one entity exerts a moral influence that shapes, guides, or alters the character or ethical disposition of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.